Which feature is NOT typically associated with Autonomous Data Warehouse?

An Autonomous Data Warehouse is designed specifically to manage itself, which includes features like automatic scaling, automated backups, and built-in security measures. The focus is on reducing the need for manual intervention and optimizing performance through automation and intelligent management.

Manual performance tuning is not typically associated with an Autonomous Data Warehouse because the essence of this type of system is to automate those tasks that traditionally required human oversight, such as tuning for optimal performance. This contrasts with the features of automated scaling, which adjusts resources based on demand, built-in security, which protects data automatically, and free backups, which ensure data is preserved without requiring user intervention. The underlying goal of an Autonomous Data Warehouse is to provide a more efficient and ease-of-use experience, requiring minimal manual management.